Tue.Sep 10, 2024

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How to Automate Google Sheets?

Analytics Vidhya

Introduction Google Sheets is one of the most popular and widely used alternatives to Excel. Its collaborative environment offers features such as real-time editing, and version control, and its tight integration with Google Suite which allows you to call Google Sheets in Google Docs, helps to bring the best of the Google workspace. You can […] The post How to Automate Google Sheets?

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10 Best AI Video Translation Tools (September 2024)

Unite.AI

In today's interconnected world, the ability to communicate across language barriers is more crucial than ever. For content creators, marketers, and businesses looking to expand their global reach, AI video translation tools have become invaluable assets. These cutting-edge technologies are revolutionizing the way we localize and distribute video content, making it possible to engage audiences worldwide with unprecedented ease and efficiency.

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Sony and AI Singapore collaborate on SEA-LION LLMs

AI News

Sony Research and AI Singapore (AISG) will collaborate on research for the SEA-LION family of large language models (LLMs). SEA-LION, which stands for Southeast Asian Languages In One Network, aims to improve the accuracy and capability of AI models when processing languages from the region. This is particularly important given the linguistic diversity of Southeast Asia, which is home to over a thousand different languages.

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Eric Landau, Co-Founder & CEO of Encord – Interview Series

Unite.AI

Eric Landau is the CEO & Co-Founder of Encord , an active learning platform for computer vision. Eric was the lead quantitative researcher on a global equity delta-one desk, putting thousands of models into production. Before Encord, he spent nearly a decade in high-frequency trading at DRW. He holds an S.M. in Applied Physics from Harvard University, M.S. in Electrical Engineering, and B.S. in Physics from Stanford University.

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Usage-Based Monetization Musts: A Roadmap for Sustainable Revenue Growth

Speaker: David Warren and Kevin O’Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

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Enhancing LLMs with Structured Outputs and Function Calling

Analytics Vidhya

Introduction Suppose you are interacting with a friend who is knowledgeable but at times lacks concrete/informed responses or when he/she does not respond fluently when faced with complicated questions. What we are doing here is similar to the prospects that currently exist with Large Language Models. They are very helpful, although their quality and relevance […] The post Enhancing LLMs with Structured Outputs and Function Calling appeared first on Analytics Vidhya.

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How to perform Speaker Diarization in Python

AssemblyAI

Understanding who is speaking when in a given audio recording is critical in extracting useful information from audio recordings and providing valuable end-user experiences. Speaker diarization is a technique used to obtain this information. It works by partitioning an audio file into homogeneous segments, or "utterances", according to speaker identity.

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How Digital Humans Enhance Employee Training Through Unique, Life-Like Conversations

Unite.AI

Employee training is essential to acclimating to a role and absorbing company culture; likewise, it allows people to learn new skills and grow professionally. Nevertheless, the thrill of working for a new company or getting promoted to a new position gets extinguished the second that the “employee training” email pops up in one’s inbox. Despite companies in the US spending over $100 billion on traditional learning solutions in 2022 , the webinars, pre-recorded videos and courses of today are so

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How fintechs are helping banks accelerate innovation while navigating global regulations

IBM Journey to AI blog

Financial institutions are partnering with technology firms—from cloud providers to fintechs—to adopt innovations that help them stay competitive, remain agile and improve the customer experience. However, the biggest hurdle to adopting new technologies is security and regulatory compliance. While third and fourth parties have the potential to introduce risk, they can also be the solution.

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EAGLE: Exploring the Design Space for Multimodal Large Language Models with a Mixture of Encoders

Unite.AI

The ability to accurately interpret complex visual information is a crucial focus of multimodal large language models (MLLMs). Recent work shows that enhanced visual perception significantly reduces hallucinations and improves performance on resolution-sensitive tasks, such as optical character recognition and document analysis. Several recent MLLMs achieve this by utilizing a mixture of vision encoders.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Chai-1 Released by Chai Discovery Team: A Groundbreaking Multi-Modal Foundation Model Set to Transform Drug Discovery and Biological Engineering with Revolutionary Molecular Structure Prediction

Marktechpost

The Chai Discovery team announced the launch of Chai-1 , a groundbreaking multi-modal foundation model designed to predict molecular structures with unprecedented accuracy. This release marks a major advancement in molecular biology and drug discovery, with the model boasting state-of-the-art capabilities across a diverse range of tasks. As a freely available tool, Chai-1 opens new avenues for research and commercial applications, particularly in drug discovery.

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What’s new with Databricks SQL

databricks

We are excited to share the latest new features and performance improvements that make Databricks SQL simpler, faster and lower cost than ever.

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NVIDIA Researchers Introduce Order-Preserving Retrieval-Augmented Generation (OP-RAG) for Enhanced Long-Context Question Answering with Large Language Models (LLMs)

Marktechpost

Retrieval-augmented generation (RAG), a technique that enhances the efficiency of large language models (LLMs) in handling extensive amounts of text, is critical in natural language processing, particularly in applications such as question-answering, where maintaining the context of information is crucial for generating accurate responses. As language models evolve, researchers strive to push the boundaries by improving how these models process and retrieve relevant information from large-scale

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TAI #116; Rise of the Protein Foundation Model; Comparing AlphaProteo, Chai-1, HelixFold3, and AlphaFold-3.

Towards AI

Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie There were plenty of LLM developments again this week, including a new Agent coding product from Replit, an Enterprise LLM platform with a 500k Claude context window at Anthropic, a new Deepseek 2.5 model, and a $1bn seed fundraising by Ilya Sutskever for his new startup.

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From Diagnosis to Delivery: How AI is Revolutionizing the Patient Experience

Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

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Researchers from Brown University Introduce Symplectic Graph Neural Networks (SympGNNs) to Revolutionize High-Dimensional Hamiltonian Systems Modeling and Overcome Challenges in Energy Conservation and Node Classification

Marktechpost

The intersection of computational physics and machine learning has brought significant progress in understanding complex systems, particularly through neural networks. Graph neural networks (GNNs) have emerged as powerful tools for modeling interactions within physical systems, capitalizing on their ability to manage data-rich environments. Recently, there has been a shift toward directly incorporating domain-specific knowledge, such as Hamiltonian dynamics, into these models.

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[The AI Show Episode 114]: ProblemsGPT, The ROI of Generative AI, Andrej Karpathy on the Road to Automated Intelligence & Ilya Sutskever Raises $1B

Marketing AI Institute

It’s an exciting week here in Cleveland as MAICON kicks off, and we have just as exciting AI news and updates to share in this weeks episode. Join Mike and Paul as they unveil SmarterX's newest tool, ProblemsGPT. The guys also break down use cases of Generative AI productivity benefits, plus, hear Karpathy's insights on the journey toward automated intelligence.

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Diffusion Models Redefined: Mastering Low-Dimensional Distributions with Subspace Clustering

Marktechpost

A significant challenge in the field of artificial intelligence, particularly in generative modeling, is understanding how diffusion models can effectively learn and generate high-dimensional data distributions. Despite their empirical success, the theoretical mechanisms that enable diffusion models to avoid the curse of dimensionality—where the number of required samples increases exponentially with data dimension—remain poorly understood.

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24-Hour Flash Sale! Legal Innovators UK: Nov 6 + 7

Artificial Lawyer

Legal Innovators UK, the pioneering legal tech conference taking place on November 6th and 7th, is delighted to announce a 24-hour flash ticket sale starting… today! There.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Mistral.rs: A Fast LLM Inference Platform Supporting Inference on a Variety of Devices, Quantization, and Easy-to-Use Application with an Open-AI API Compatible HTTP Server and Python Bindings

Marktechpost

A significant bottleneck in large language models (LLMs) that hampers their deployment in real-world applications is the slow inference speeds. LLMs, while powerful, require substantial computational resources to generate outputs, leading to delays that can negatively impact user experience, increase operational costs, and limit the practical use of these models in time-sensitive scenarios.

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Legal Ops Insights from Volt’s Chief Legal Officer, Stephanie Lopes

Artificial Lawyer

Stephanie Lopes is Chief Legal Officer at Volt and brings over a decade of experience from her time at Bird & Bird.

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µFormer: A Deep Learning Framework for Efficient Protein Fitness Prediction and Optimization

Marktechpost

Protein engineering is essential for designing proteins with specific functions, but navigating the complex fitness landscape of protein mutations poses a significant challenge, making it hard to find optimal sequences. Zero-shot approaches, which predict mutational effects without relying on homologs or multiple sequence alignments (MSAs), reduce some dependencies but fall short in predicting diverse protein properties.

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Building a RAG Bot for Slack Using LangChain and OpenAI

Pragnakalp

Introduction​ In today’s busy work environments, getting information quickly is very important. With so many documents, finding what you need can be hard. A PDF Q&A bot can help, especially when used with Slack, a popular tool for team communication. This bot lets you ask questions about PDF documents and get instant answers, making it easier to find the information you need.

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The Tumultuous IT Landscape Is Making Hiring More Difficult

After a year of sporadic hiring and uncertain investment areas, tech leaders are scrambling to figure out what’s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!

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PISA: A Psychology-Informed Approach to Sequential Music Recommendation with Repeat Listening Awareness

Marktechpost

Music recommendation systems have become essential to streaming services, helping users discover new songs and re-listen to their favorites. These systems use algorithms that analyze users’ listening patterns, making personalized song recommendations. One key type of algorithm used in these services is sequential recommendation systems, which predict the next song a user will enjoy based on previous listening sessions.

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AMD to Launch Affordable 'Kraken Point' Zen 5 Mobile in 2025

Extreme Tech

The company is targeting Intel's Lunar Lake and Qualcomm's eight-core Snapdragon X chips.

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Noslegal’s Open Source Legal Data Standards See Adoption

Artificial Lawyer

The noslegal open source data standards team has announced that its taxonomy has now been adopted by several major law firms, including A&O Shearman, and.

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TSMC's Arizona Fab Matches Taiwan in Early Yield Test

Extreme Tech

It's the first good news about its beleaguered Arizona operation in quite a while.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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Genomics England uses Amazon SageMaker to predict cancer subtypes and patient survival from multi-modal data

AWS Machine Learning Blog

This post is co-written with Francisco Azuaje from Genomics England. Genomics England analyzes sequenced genomes for The National Health Service (NHS) in the United Kingdom, and then equips researchers to use data to advance biological research. As part of its goal to help people live longer, healthier lives, Genomics England is interested in facilitating more accurate identification of cancer subtypes and severity, using machine learning (ML).

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If You Missed the Spring 2024 Auroras, You Might Have 2 More Years to See Them

Extreme Tech

The auroras we saw throughout the US in May were triggered by solar phenomena scientists expect to see through early to mid-2026.

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Data and AI integration enhance Oracle Database@Azure

Microsoft AI

Together with Oracle, we’re announcing upgrades to Oracle Database@Azure to enhance data and AI integration and security. Learn more.

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